Instructions to use poltextlab/xlm-roberta-large-i5-binary-codebook-v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poltextlab/xlm-roberta-large-i5-binary-codebook-v14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poltextlab/xlm-roberta-large-i5-binary-codebook-v14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poltextlab/xlm-roberta-large-i5-binary-codebook-v14") model = AutoModelForSequenceClassification.from_pretrained("poltextlab/xlm-roberta-large-i5-binary-codebook-v14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db77b6ad4e662f11e888f613e20da6a20d935bf3798de349a8c28849d7f16afb
- Size of remote file:
- 5.71 kB
- SHA256:
- 27c9d2799180f397f17e56af44829dfa473e97f54be41fdc61ea3021e7a7bbe1
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